AI Agentic workflow - How to build AI Agents with Python.

AI Agentic workflow - How to build AI Agents with Python.

In this video, dive into the world of generative workflows and learn how to harness the power of Python and OpenAPI to build versatile agents.

We’ll walk you through creating individual agents that can handle specific tasks, and then show you how to develop an orchestrator agent capable of coordinating these agents seamlessly based on user queries.

This orchestrator can manage multiple tasks and even mimic the efficiency of a human assistant.

Whether you’re looking to streamline workflows or simply explore cutting-edge AI possibilities, this video is your guide to building an intelligent, adaptable agent ecosystem.

[mcoverlord]

Hey, just letting everyone know, I think OpenAI now charges for use of their API. While before it used to be free to an extent, now when I try to use the API for anything it throws an error 429 telling me to check my billing details. Would you possibly know of any free AI API I can use?

[Faisal]

Very interesting. Can you show how you started project from beginning for beginners in visual studios.

[gafoorgichhi]

When you asked the agent about booking a ticket. You had mentioned it generated a response asking you for details such as destination, date, etc, that are needed to book the tickets even though you had not trained your agents on any related data sets. It is generating those responses from the data sets openAI had trained it on since you are using the openAI api for running ur LLM. Hopefully that should clear the air

[ashutoshthakur]

Thanks for putting this demo, it's simple to understand!
A quick question to confirm my understanding: did i understand that his code calls gpt API 2 times? First with users raw input, which then forces the LLM to return a response mentioning that it needs to call the function (e.g. get_weather function) to fulfill the request. And then the second time gpt model will actually call the function and append its result to the output response which is then rendered as final output.

[xx]

I would like to see: "How the chatbot was created and how to give it an image"!

[satish]

Very Good present

In my opinion AI Agent is nothing but a wrapper over LLMs and RAG on steriord ..in simple english

[nathanealogunode]

This was great. Would love to get the Github link for this

[markgreen]

that was interesting however, i don't quite have the necessary background to understand it! ...i'll have to do a 'deeper dive' thanks!

[karenfisher]

This seems more to be an example of a single agent, with multiple tool options at its disposal. A good and clear example for that, however.

[SBtt]

I am bulding a health tech company and looking to build this. any way I can get some guidance and help from you ?

[podcastbranch]

can you give us the code what you used please? God Bless you.

[thatswhaticallmusic]

Interesting jump start.

Few clarificatons below,

1. At 2:54 what is the website link you used to see all these agents.

2. At 6:05 what is the IDE used?
Also see it has AWS and Microsoft nodes on left panel. From where did you get all these nodes as seen in the IDE.?

3. Do you recommend any specific hands on course which guides step by step.

Thank you Sir

[chinnaiahkotadi]

Sir can you share your mail id why because i want to keep touch with you